Nitrate source identification in river systems is important for water quality management. Recently, the oxygen isotopic anomaly of nitrate in atmospheric deposition (ΔO) is used to identify unprocessed atmospheric nitrate in river systems to reduce the uncertainty caused by the wide range of δO. In high-elevation regions, such as the Qinghai-Tibetan Plateau (QTP) featured with lower temperature and pressure as well as strong radiation, the ΔO might be different from that in low-elevation regions, but no relevant studies have been reported. In this work, ΔO in the QTP was studied, and the fingerprints of nitrate isotopes in synthetic fertilizer, livestock manure, domestic sewage, and soil organic nitrogen (SON) were identified and used to quantify various source contributions to riverine nitrate in the Yellow River and Changjiang River source regions located in the QTP during 2016-2017. The results showed that the average of ΔO in the QTP was 16.4‰, lower than the range (19-30‰) reported for the low-elevation regions. The possible mechanism is decreased O as well as increased hydroxyl and peroxy radical levels in the troposphere caused by the climate condition and ozone valley in the QTP will affect the production pathways of atmospheric nitrate. By combining the sewage discharge data with the output results of the SIAR (stable isotope analysis in R) model based on the stable isotope data, manure was determined to be one of the major sources to riverine nitrate for both rivers. The contributions of various sources to riverine nitrate were 47 ± 10% for manure, 30 ± 5% for SON, 10 ± 4% for atmospheric precipitation, 9 ± 2% for synthetic fertilizer, and 4 ± 0% for sewage in the Yellow River source region. This study indicates that the unique atmospheric conditions in the QTP have led to a lower ΔO value, and atmospheric source makes a considerable contribution to riverine nitrate in the QTP.
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http://dx.doi.org/10.1016/j.scitotenv.2019.06.204 | DOI Listing |
J Hazard Mater
November 2024
Key Laboratory of Aquatic Botany and Watershed Ecology, Wuhan Botanical Garden, Chinese Academy of Sciences, Wuhan 430074, China; Danjiangkou Wetland Ecosystem Observation and Research Station, Chinese Academy of Sciences, Wuhan 430074, China.
Environ Geochem Health
November 2024
Key Laboratory of Aquatic Botany and Watershed Ecology, Wuhan Botanical Garden, Chinese Academy of Sciences, Wuhan, 430074, China.
The high levels of nitrate (NO) in the surface water have contributed to eutrophication and other eco-environmental damages worldwide. Although the excessive NO concentrations in rivers were often attributed to anthropogenic activities, some undisturbed or slightly disturbed rivers also had high NO levels. This study utilized multi-pronged approaches (i.
View Article and Find Full Text PDFJ Hazard Mater
November 2024
School of Geography, Nanjing Normal University, Nanjing 210023, China; Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing 210023, China; Key Laboratory of Virtual Geographic Environment, Ministry of Education, Nanjing Normal University, Nanjing 210023, China. Electronic address:
Nitrate (NO) contamination in riverine networks has threatened the environment and human health. Clarifying the NO source and environmental fate within the basin under different underlying surfaces is essential for water body protection, especially China's two mother rivers. A series of combination methods were established i.
View Article and Find Full Text PDFWater Res
February 2025
Department of Soil Water and Climate, University of Minnesota-Twin Cities, St. Paul, Minnesota, USA; Agricultural Research Service, United States Department of Agriculture, St. Paul, Minnesota, USA. Electronic address:
Intensive agricultural activities have significantly altered watershed hydrological and biogeochemical processes, resulting in water quality issues and loss of ecosystem functions and biodiversity. A major challenge in effectively mitigating nitrogen (N) loss from agricultural watersheds stems from the heterogeneity of N transformation and transport processes that complicates accurate quantification and modeling of N sources and sinks at the watershed scale. This study utilized stable isotopes of water and nitrate (NO) in conjunction with spatial stream network modeling (SSNMs) to explore watershed hydrology, N transformation, and sources within a mesoscale river network in the U.
View Article and Find Full Text PDFJ Hazard Mater
December 2024
Guangxi Key Laboratory of Marine Environmental Change and Disaster in the Beibu Gulf, College of Marine Sciences, Beibu Gulf University, Qinzhou 535011, China; CAS Key Laboratory of Coastal Environmental Processes and Ecological Remediation, Yantai Institute of Coastal Zone Research (YIC), Chinese Academy of Sciences (CAS); Shandong Key Laboratory of Coastal Environmental Processes YICCAS, Yantai 264003, China; Pinglu Canal and Beibu Gulf Coastal Ecosystem Observation and Research Station of Guangxi, Guangxi Key Laboratory of Marine Environmental Change and Disaster in Beibu Gulf, College of Marine Sciences, Beibu Gulf University, Qinzhou 535011, China. Electronic address:
Dissolved nutrients, including nitrate (NO-N) and its dual isotopes (δN-NO and δO-NO) were systematically studied along a river-sea continuum, wherein dense oyster mariculture is implemented, to constrain the pollution sources and biogeochemical cycling mechanisms of nitrogen (N). Total dissolved N, mainly composed of inorganic N, showed strong anthropogenic influence. Based on MixSIAR model results, N pollution was predominantly sourced from sewage/wastewater (55.
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